Valentin Thomas

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #31,630 of 35,345 by trust here, #15,236 by citations
• Reinforcement Learning — 43 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Valentin Thomas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Doina Precup
5. Diederik P. Kingma
6. Yoshua Bengio
7. Peter S. Dayan
8. Sergey Ioffe
9. Brian D. Ziebart
10. Yann LeCun

Who trusts Valentin Thomas overall

1. Francesco Locatello
2. Bernhard Schölkopf
3. Timothée Lesort
4. Hyoungseok Kim
5. Stefan Bauer
6. Yoshua Bengio
7. Sergey Levine
8. Anirudh Goyal
9. Raphael Suter
10. Michael Janner

Papers from Valentin Thomas's perspective

Ordered by how strongly the researchers Valentin Thomas trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Independently Controllable Factors (2017) — 71 citations
• Independently Controllable Features (2017) — 67 citations
• Disentangling the independently controllable factors of variation by interacting with the world (2018) — 69 citations
• Probabilistic Planning with Sequential Monte Carlo methods (2018) — 56 citations